NeurIPS 2024 Workshop Federated Learning Submissions

Adaptive Hybrid Model Pruning in Federated Learning through Loss Exploration
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Worldwide Federated Training of Language Models
Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
MAP: Model Merging with Amortized Pareto Front Using Limited Computation
Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
Steffen Schotthöfer, M. Paul Laiu
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Defection-Free Collaboration between Competitors in a Learning System
Mariel Werner, Sai Praneeth Karimireddy, Michael Jordan
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Federated Learning with Generative Content
Rui Ye, Xinyu Zhu, Jingyi Chai, Lingjuan Lyu, Chen Xie, Yanfeng Wang, Siheng Chen
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
DeComFL: Federated Learning with Dimension-Free Communication
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- Published: 01 Oct 2024, Last Modified: 08 Nov 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Hot Pluggable Federated Learning
Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
The Future of Large Language Model Pre-training is Federated
Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomas Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas Donald Lane
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
Sunny Gupta, Amit Sethi
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
OPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning
Harish Karthikeyan, Antigoni Polychroniadou
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms
Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
Rui Ye, Rui Ge, Fengting Yuchi, Jingyi Chai, Yanfeng Wang, Siheng Chen
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Enhancing Causal Discovery in Federated Settings with Limited Local Samples
Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, Gang Wang
- Published: 01 Oct 2024, Last Modified: 28 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
The SynapticCity Phenomenon: When All Foundation Models Marry Federated Learning and Blockchain
Sergio Zaera Mata, Roberto Gómez-Espinosa Martín
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
ZOOPFL: Exploring Black-box Foundation Models for Personalized Federated Learning
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
- Published: 01 Oct 2024, Last Modified: 05 Nov 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning using Packed Secret Sharing
Alexander Bienstock, Antigoni Polychroniadou, Ujjwal Kumar
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
EncCluster: Bringing Functional Encryption in Federated Foundational Models
Vasileios Tsouvalas, Samaneh Mohammadi, Ali Balador, Tanir Özçelebi, Francesco Flammini, Nirvana Meratnia
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Improving Group Connectivity for Generalization of Federated Deep Learning
Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Rui Ye, Tao Shen, Tao Lin, Chao Wu
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu
- Published: 01 Oct 2024, Last Modified: 16 May 2025
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, YI SHENG CHAN, Xiaojun Feng, Natarajan Krishnaswami, Vojta J, Mona Chitnis
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang, Pengkun Yang, Lili Su
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
Momentum Approximation in Asynchronous Private Federated Learning
Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis
- Published: 01 Oct 2024, Last Modified: 17 Oct 2024
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone